diff --git a/src/tea_tasting/metrics/mean.py b/src/tea_tasting/metrics/mean.py
index 86b9b36..3b39048 100644
--- a/src/tea_tasting/metrics/mean.py
+++ b/src/tea_tasting/metrics/mean.py
@@ -139,7 +139,7 @@ def __init__(  # noqa: PLR0913
                 in the control variant.
 
         Parameter defaults:
-            Defaults for the parameters `alpha`, `alternative`, `confidence_level`,
+            Defaults for parameters `alpha`, `alternative`, `confidence_level`,
             `equal_var`, `n_obs`, `power`, `ratio`, and `use_t` can be changed
             using the `config_context` and `set_context` functions.
             See the [Global configuration](https://tea-tasting.e10v.me/api/config/)
@@ -731,7 +731,7 @@ def __init__(  # noqa: PLR0913
                 in the control variant.
 
         Parameter defaults:
-            Defaults for the parameters `alpha`, `alternative`, `confidence_level`,
+            Defaults for parameters `alpha`, `alternative`, `confidence_level`,
             `equal_var`, `n_obs`, `power`, `ratio`, and `use_t` can be changed
             using the `config_context` and `set_context` functions.
             See the [Global configuration](https://tea-tasting.e10v.me/api/config/)
diff --git a/src/tea_tasting/metrics/resampling.py b/src/tea_tasting/metrics/resampling.py
index b65ad5e..5e93641 100644
--- a/src/tea_tasting/metrics/resampling.py
+++ b/src/tea_tasting/metrics/resampling.py
@@ -99,7 +99,7 @@ def __init__(  # noqa: PLR0913
                 in the control variant.
 
         Parameter defaults:
-            Defaults for the parameters `alternative`, `confidence_level`,
+            Defaults for parameters `alternative`, `confidence_level`,
             and `n_resamples` can be changed using the
             `config_context` and `set_context` functions.
             See the [Global configuration](https://tea-tasting.e10v.me/api/config/)
@@ -293,14 +293,14 @@ def __init__(  # noqa: PLR0913
                 in the control variant.
 
         Parameter defaults:
-            Defaults for the parameters `alternative`, `confidence_level`,
+            Defaults for parameters `alternative`, `confidence_level`,
             and `n_resamples` can be changed using the
             `config_context` and `set_context` functions.
             See the [Global configuration](https://tea-tasting.e10v.me/api/config/)
             reference for details.
 
         Default method:
-            The default method is "basic" which is different from the default
+            Default method is "basic" which is different from default
             method "bca" in `Bootstrap`. The "bca" confidence intervals cannot
             be calculated when the bootstrap distribution is degenerate
             (e.g. all elements are identical). This is often the case for the
diff --git a/src/tea_tasting/utils.py b/src/tea_tasting/utils.py
index 7528dbb..2dc2c24 100644
--- a/src/tea_tasting/utils.py
+++ b/src/tea_tasting/utils.py
@@ -38,13 +38,13 @@ def check_scalar(  # noqa: PLR0913
         value: Parameter value.
         name: Parameter name.
         typ: Acceptable data types.
-        ge: If not `None`, check that the parameter value is greater than
+        ge: If not `None`, check that parameter value is greater than
             or equal to `ge`.
-        gt: If not `None`, check that the parameter value is greater than `gt`.
-        le: If not `None`, check that the parameter value is less than or equal to `le`.
-        lt: If not `None`, check that the parameter value is less than `lt`.
-        ne: If not `None`, check that the parameter value is not equal to `ne`.
-        in_: If not `None`, check that the parameter value is in `in_`.
+        gt: If not `None`, check that parameter value is greater than `gt`.
+        le: If not `None`, check that parameter value is less than or equal to `le`.
+        lt: If not `None`, check that parameter value is less than `lt`.
+        ne: If not `None`, check that parameter value is not equal to `ne`.
+        in_: If not `None`, check that parameter value is in `in_`.
 
     Returns:
         Parameter value.